Preferred skin color reproduction on the display

Park, Du‐Sik; Kwak, Youngshin; Ok, HyunWook; Kim, Chang Yeong

doi:10.1117/1.2400850

Cited by 17 publications

(14 citation statements)

References 9 publications

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“…Park, et al developed formulae to describe the boundary of skin colours in C b -C r colour space for preferred skin colour reproduction on displays [30]. The boundary of skin colours is defined as an ellipse using a constant density contour having the same probability of a bivariate Gaussian function.…”

Section: Skin Tone Boundary Modelmentioning

confidence: 99%

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Modelling memory colour region for preference colour reproduction

Zeng

Luo

2010

SPIE Proceedings

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Colour preference adjustment is an essential step for colour image enhancement and perceptual gamut mapping. In colour reproduction for pictorial images, properly shifting colours away from their colorimetric originals may produce more preferred colour reproduction result. Memory colours, as a portion of the colour regions for colour preference adjustment, are especially important for preference colour reproduction. Identifying memory colours or modelling the memory colour region is a basic step to study preferred memory colour enhancement. In this study, we first created gamut for each memory colour region represented as a convex hull, and then used the convex hull to guide mathematical modelling to formulate the colour region for colour enhancement.

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Section: Skin Tone Boundary Modelmentioning

confidence: 99%

“…The idea leads to the development of single Gaussian model SGM) (Hsu et al 2002, Yang and Ahuja 1998, Menser and Wien, 2000, Almohair et al 2007) [17][18][19][20] [21][22][23][24]. SGM may be accurate enough for a controlled condition, such as under a specific lighting condition and with a specific type of skin.…”

Section: Introductionmentioning

confidence: 99%

Modelling memory colour region for preference colour reproduction

Zeng

Luo

2010

SPIE Proceedings

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“…According to this memory color detection, the boundaries of memory color in an image can be detected by using the optimal Mahalanobis distance in a bivariate Gaussian probability density function. 3 However, it is difficult to describe the skin-color boundaries precisely for each image because the related parameters of skin-color probability density function in this algorithm are limited.…”

Section: Introductionmentioning

confidence: 99%

Skin‐color correction method based on hue template mapping for wide color gamut liquid crystal display devices

Chen

Wang

Chen

et al. 2010

Color Research & Application

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The development of wide color gamut (WCG) liquid crystal display (LCD) plays an important role in the high-quality television (TV) field. Nowadays, people want their TV or display devices to have the capability of showing vivid colors while keeping skin colors as natural as they remember. Therefore, it is necessary to develop color-correction technologies for WCG LCD system. A new color-correction method named ''natural skin-color mapping algorithm'' (NSCMA) for WCG LCD is proposed in this study. It can solve the skin-color contour problem in color-corrected images with simple skin-color detection. Its development is based on the concepts of performing color mapping between source hue colors and target hue colors on each hue page. The polynomial regression is also applied to calculate the color mapping conversion matrices. Two color mapping factors called template-size factor and tone-compression factor are designed in NSCMA. The template-size factor is used to adjust target template sizes adequately. The tone-compression factor is designed to control the degrees of image enhancement. For facial skin-color pictures, the appropriate settings of template-size factor and tone-compression factor will get suitable color image rendering on the WCG LCD. It is demonstrated that the WCG LCD can be corrected to show vivid color pictures and keep facial skin colors as natural as possible when the proposed NSCMA is performed.

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“…Yoshikawa et al (2012) mentioned the effect of lightness perception along with the redness-yellowness and chroma of skin color [13,14]. Preferred skin color was studied for color reproduction on the display [15,16].…”

Section: Introductionmentioning

confidence: 99%

Ranges of Animation Skin Color

Han

Uchikawa

2017

IJAE

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Skin color has been studied for color rendering since 1950s. The studies contained skin color of photographs and real skin. However, virtual skin color also became important with developing display recently. In this study, animation skin color was dealt with the main theme, although it has never been treated as a subject before. Two-dimensional animation face images, the farthest from real face, were used as stimuli. In experiments, tolerantly-accepted, preferred, more preferred, and the most preferred skin color were investigated by the cascade selection method. In results, the data points of 50% subjects' consistency fitted ellipses for animation skin color. Moreover, representations of skin color appeared different lightness according facial shapes. In addition, preferred skin colors of animation facial images appeared different in properties from real skin colors, portraits and photographic images. Therefore, skin color representation changes depending on the degree of realism with illuminants and shadows.

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Preferred skin color reproduction on the display

Cited by 17 publications

References 9 publications

Modelling memory colour region for preference colour reproduction

Modelling memory colour region for preference colour reproduction

Skin‐color correction method based on hue template mapping for wide color gamut liquid crystal display devices

Ranges of Animation Skin Color

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